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DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Evaluation Set

Authors: Nolasco, Ines; Singh, Shubhr; Strandburg-Peshkin, Ariana; Gill, Lisa; Pamula, Hanna; Grout, Emily; Morford, Joe; +7 Authors

DCASE 2022 Task 5: Few-shot Bioacoustic Event Detection Evaluation Set

Abstract

General Description The evaluation set for task 5 of DCASE 2022 "Few-shot Bioacoustic Event Detection" consists of 46 audio files acquired from different bioacoustic sources. The first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. This dataset is to be used for evaluation purposes during the task Folder Structure Evaluation_Set.zip |___DC/ |____*.wav |____*.csv |___CT/ |____*.wav |____*.csv |___CHE/ |____*.wav |____*.csv |___MGE/ |____*.wav |____*.csv |___MS/ |____*.wav |____*.csv |___QU/ |____*.wav |____*.csv Evaluation_Set_5shots.zip has the same structure but contains only the *.wav files. Evaluation_Set_5shots_annotations_only.zip has the same structure but contains only the *.csv files The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files. Annotation structure Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows: [ Audiofilename, Starttime, Endtime, Q ] Development Set The development set for the same task can be found at: https://doi.org/10.5281/zenodo.6012309 Open Access This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. Contact info Please send any feedback or questions to: Ines Nolasco: i.dealmeidanolasco@qmul.ac.uk

Keywords

few-shot learning, dcase2022, Bioacoustics, audio event detection

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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